Paper Info
Title
Queue-Aware Energy-Efficient Scheduling And Power Allocation In Small-Cell Networks With Interference
Abstract
We investigate the problem of throughput guaranteed energy saving for base stations in small-cell networks with universal frequency reuse. The objective function is to minimize the time average of total power expenditure in each slot over infinite horizon, while the data arrival rate is constrained in the mean rate stable region. We take advantage of both queue state information and channel state information to find the optimal strategy of user scheduling and power allocation, which consumes the least energy and causes the least inter cell interference. According to Lyapunov optimization theory, the problem is formulated into a non-convex combinatorial optimization problem of dynamic user scheduling and power allocation in each slot. In general, the problem is NP-hard, so we devise a two-step heuristic algorithm to solve it. Simulation results show that the performance of the proposed algorithm is close to exhaustive search algorithm, and better than Round Robin Algorithm and MaxWeight algorithm.
Year
Venue
Field
2016
2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE
Mathematical optimization,Fair-share scheduling,Heuristic (computer science),Scheduling (computing),Computer science,Queue,Lyapunov optimization,Real-time computing,Dynamic priority scheduling,Earliest deadline first scheduling,Round-robin scheduling
DocType
ISSN
Citations 
Conference
1525-3511
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
Hongxin Wei1161.61
limin xiao2508.77
Yunzhou Li334536.62
Shidong Zhou41098120.74